Recon

Recon simplifies data access and investigation across diverse systems, empowering non-engineers to get crucial answers quickly. Key capabilities include: • Plain English querying across database, code, and tickets • Automated investigations and recurring "missions" • Cross-system data correlation and pattern detection • One-click actions for identified issues or insights • Direct Excel/CSV report generation This platform allows product managers, customer success leads, and support representatives to independently gather information without needing direct engineering intervention. Users can ask questions in natural language through Slack or a web interface, and Recon will query linked databases (Postgres), code repositories (GitHub), knowledge bases (Notion), and ticketing systems (Linear, Jira) to provide comprehensive, evidence-backed answers in seconds. It also generates and downloads formatted Excel or CSV reports directly from chat, facilitating easy data sharing and analysis. Beyond reactive querying, Recon offers proactive monitoring through "missions." Users define what matters (e.g., "watch for accounts where usage dropped 30% near a renewal"), and the tool runs these checks on a schedule, establishing baselines and alerting only when significant changes occur. It continuously learns from gathered data, cross-referencing information to surface deeper insights and patterns. When an issue is detected, Recon not only flags it but also suggests actionable steps, such as creating a Linear ticket or launching further investigation. This self-learning and action-oriented design helps teams identify risks and opportunities faster, leading to more informed decisions and reducing operational friction.